Software Engineer
hace 4 días
En eGenya estamos construyendo una plataforma digital con foco en performance, escalabilidad y velocidad de entrega. Buscamos un/a Software Engineer que disfrute armar productos reales, con criterio técnico, obsesión por la calidad y mentalidad de ownership.
Qué vas a hacer
- Diseñar, implementar y mantener servicios full serverless.
- Construir APIs y procesos event-driven (sin servidores "tradicionales"), con foco en resiliencia y costo/beneficio.
- Modelar y optimizar datos en PostgreSQL y DynamoDB (según el caso de uso).
- Implementar observabilidad: logs, métricas, trazas, alarmas y troubleshooting productivo.
- Mejorar CI/CD e Infra as Code junto al equipo (deploys seguros, repetibles y automatizados).
- Participar en decisiones de arquitectura, revisiones de código y buenas prácticas (clean code, testing, DX).
Stack / entorno técnico
- AWS: Lambda, API Gateway, DynamoDB, SQS/EventBridge, CloudWatch, IAM
- Datos: PostgreSQL (idealmente RDS/Postgres), DynamoDB
- Infra: IaC (Terraform / Serverless Framework / CDK)
- Lenguajes: (Mandatorio)
- Cloud: se valora experiencia en GCP (Cloud Run/Functions, Pub/Sub, Firestore, etc.)
Lo que buscamos (mínimos)
- 3+ años construyendo backend / software de producto (startup friendly).
- Experiencia real diseñando APIs y servicios en cloud.
- Experiencia trabajando con Nextjs/React (Mandatorio)
- Buen manejo de bases de datos relacionales (Postgres) y nociones sólidas de modelado.
- Capacidad de tomar requerimientos "ambiguos" y aterrizarlos en soluciones concretas.
- Código mantenible: testing razonable, revisiones, documentación corta pero útil.
Ideal si además tienes
- Experiencia seria con DynamoDB (diseño por access patterns, GSIs, costos).
- Arquitecturas event-driven / asíncronas (colas, eventos, reintentos, DLQs).
- Seguridad cloud (IAM least privilege, secretos, auditoría).
- Performance tuning y optimización de costos.
- Conocimiento de GCP además de AWS (o migraciones entre nubes).
Cómo trabajamos
- Autonomía con accountability.
- Pull requests con code review (calidad antes que "apurar").
- Deploy frecuente y pequeño (menos riesgo, más aprendizaje).
- Priorización clara y comunicación directa.
Qué ofrecemos
- Trabajo remoto (LatAm) y horario flexible (coordinación con el equipo).
- Proyectos con impacto real y decisiones técnicas con espacio para proponer.
- Equipo chico, rápido y sin burocracia innecesaria.
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